The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-08-15"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "21459699 (up from 21159927 yesterday: 1.42 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "771063 (up from 764689 yesterday: 0.83 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 5412713

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 3.59



In- Depth Country Wise Stats (With Atleast 10000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 5361165 47913 0.90 1183144 169481 1029 0.61 3.16
Brazil 3317096 90653 2.81 922583 107232 1742 1.65 3.23
India 2589952 64030 2.53 1204317 49980 944 1.93 1.93
Russia 915808 5030 0.55 110476 15585 118 0.76 1.70
South Africa 583653 4513 0.78 149453 11677 121 1.05 2.00
Mexico 517714 6345 1.24 132678 56543 635 1.14 10.92
Peru 516296 0 0.00 140335 25856 0 0.00 5.01
Colombia 456689 11578 2.60 215894 14810 318 2.19 3.24
Chile 383902 1791 0.47 40310 10395 55 0.53 2.71
Spain 342813 0 0.00 70392 28617 0 0.00 8.35
Iran 341070 2245 0.66 52231 19492 161 0.83 5.71
United Kingdom 319232 3611 1.14 18962 46791 0 0.00 14.66
Saudi Arabia 297315 1413 0.48 32342 3369 31 0.93 1.13
Argentina 289100 6663 2.36 130766 5637 110 1.99 1.95
Pakistan 288047 747 0.26 14934 6162 9 0.15 2.14
Bangladesh 274525 2644 0.97 53347 3625 34 0.95 1.32
Italy 253438 629 0.25 7574 35392 158 0.45 13.96
France 252965 3310 1.33 35164 30410 0 0.00 12.02
Turkey 248117 1256 0.51 22944 5955 21 0.35 2.40
Germany 224488 697 0.31 18210 9235 5 0.05 4.11
Iraq 172583 4293 2.55 65010 5785 76 1.33 3.35
Philippines 157918 4258 2.77 79506 2600 158 6.47 1.65
Indonesia 137468 2345 1.74 40182 6071 50 0.83 4.42
Canada 123825 220 0.18 8355 9072 4 0.04 7.33
Qatar 114809 277 0.24 5773 192 2 1.05 0.17
Kazakhstan 102696 409 0.40 20976 1269 0 0.00 1.24
Ecuador 100688 1279 1.29 20652 6065 35 0.58 6.02
Bolivia 99146 1196 1.22 30865 4003 64 1.62 4.04
Egypt 96336 116 0.12 4753 5141 17 0.33 5.34
Israel 92233 1153 1.27 31555 674 9 1.35 0.73
Ukraine 91795 1878 2.09 26478 2076 34 1.67 2.26
China 89279 65 0.07 2898 4703 2 0.04 5.27
Dominican Republic 85545 1057 1.25 24649 1438 29 2.06 1.68
Sweden 84294 0 0.00 5297 5783 0 0.00 6.86
Oman 82924 181 0.22 8066 562 5 0.90 0.68
Panama 80665 1263 1.59 21801 1746 12 0.69 2.16
Belgium 77869 756 0.98 12142 9935 11 0.11 12.76
Kuwait 75697 512 0.68 12388 498 4 0.81 0.66
Romania 69374 1328 1.95 25696 2954 50 1.72 4.26
Belarus 69308 0 0.00 2306 603 0 0.00 0.87
United Arab Emirates 64102 283 0.44 5540 361 2 0.56 0.56
Netherlands 63889 762 1.21 10905 6191 2 0.03 9.69
Guatemala 62313 885 1.44 17821 2355 14 0.60 3.78
Poland 56090 771 1.39 13468 1869 11 0.59 3.33
Singapore 55661 81 0.15 5773 27 0 0.00 0.05
Japan 55051 1233 2.29 25367 1093 13 1.20 1.99
Portugal 53981 198 0.37 4026 1775 3 0.17 3.29
Honduras 49979 512 1.04 11541 1567 19 1.23 3.14
Nigeria 48770 325 0.67 8793 974 1 0.10 2.00
Bahrain 46430 378 0.82 7683 170 2 1.19 0.37
Ghana 42210 363 0.87 10359 231 8 3.59 0.55
Kyrgyzstan 41645 272 0.66 9521 1493 2 0.13 3.59
Armenia 41495 196 0.47 4499 817 3 0.37 1.97
Morocco 41017 1776 4.53 21372 632 21 3.44 1.54
Algeria 38133 469 1.25 11369 1360 9 0.67 3.57
Switzerland 37924 253 0.67 3622 1991 0 0.00 5.25
Afghanistan 37551 120 0.32 1515 1370 7 0.51 3.65
Uzbekistan 34528 707 2.09 14576 225 5 2.27 0.65
Azerbaijan 34107 89 0.26 4474 506 2 0.40 1.48
Venezuela 32607 1226 3.91 17678 276 10 3.76 0.85
Moldova 29905 422 1.43 7077 895 11 1.24 2.99
Kenya 29849 515 1.76 13206 472 7 1.51 1.58
Serbia 29471 238 0.81 6619 670 5 0.75 2.27
Ethiopia 28894 1652 6.06 15646 509 17 3.46 1.76
Costa Rica 27737 806 2.99 13137 291 10 3.56 1.05
Ireland 27191 196 0.73 1322 1774 0 0.00 6.52
Nepal 26019 468 1.83 7536 102 3 3.03 0.39
Australia 23287 252 1.09 8884 396 17 4.49 1.70
Austria 23179 303 1.32 2841 728 3 0.41 3.14
El Salvador 22619 305 1.37 8398 603 8 1.34 2.67
Czechia 19891 198 1.01 4679 395 1 0.25 1.99
Cameroon 18469 0 0.00 1761 401 0 0.00 2.17
Cote d’Ivoire 16993 58 0.34 1499 108 0 0.00 0.64
West Bank and Gaza 16153 319 2.01 5847 108 2 1.89 0.67
Denmark 15867 109 0.69 2224 621 0 0.00 3.91
Bosnia and Herzegovina 15801 266 1.71 6034 471 2 0.43 2.98
Korea, South 15318 279 1.86 1168 305 0 0.00 1.99
Bulgaria 14333 90 0.63 4021 495 3 0.61 3.45
Madagascar 13724 81 0.59 4858 166 2 1.22 1.21
North Macedonia 12653 138 1.10 2719 539 4 0.75 4.26
Sudan 12211 49 0.40 826 796 3 0.38 6.52
Senegal 12032 160 1.35 2480 251 2 0.80 2.09
Kosovo 11275 145 1.30 4358 390 9 2.36 3.46

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 617994 4893 0.80 171542 11218 70 0.63 1.82 15640.58 283.91 1 in 64
Florida 569637 6352 1.13 155126 9345 204 2.23 1.64 26522.21 435.10 1 in 38
Texas 546552 6879 1.27 156266 10268 190 1.89 1.88 18849.30 354.12 1 in 53
New York 424901 734 0.17 13701 32833 6 0.02 7.73 21841.81 1687.76 1 in 46
Georgia 235168 3273 1.41 69980 4669 96 2.10 1.99 22149.25 439.75 1 in 45
Illinois 205851 1828 0.90 34729 7937 5 0.06 3.86 16244.78 626.35 1 in 62
Arizona 192654 933 0.49 32613 4492 69 1.56 2.33 25299.63 589.90 1 in 40
New Jersey 187442 278 0.15 8584 15910 7 0.04 8.49 21103.13 1791.22 1 in 47
North Carolina 143704 1534 1.08 32283 2343 30 1.30 1.63 13701.64 223.40 1 in 73
Louisiana 136737 0 0.00 33003 4430 0 0.00 3.24 29413.43 952.94 1 in 34
Tennessee 131747 1289 0.99 40951 1345 19 1.43 1.02 19280.50 196.83 1 in 52
Pennsylvania 128531 799 0.63 17416 7451 17 0.23 5.80 10039.92 582.02 1 in 100
Massachusetts 123199 471 0.38 7931 8826 16 0.18 7.16 17727.74 1270.02 1 in 56
Ohio 107674 1117 1.05 24490 3824 40 1.06 3.55 9211.49 327.14 1 in 109
Alabama 107580 1271 1.20 29450 1896 3 0.16 1.76 21940.84 386.69 1 in 46
South Carolina 105882 1041 0.99 25874 2260 56 2.54 2.13 20564.75 438.94 1 in 49
Virginia 105750 912 0.87 22141 2381 11 0.46 2.25 12389.40 278.95 1 in 81
Michigan 101782 1058 1.05 16160 6586 20 0.30 6.47 10191.59 659.47 1 in 98
Maryland 99693 818 0.83 16639 3636 5 0.14 3.65 16489.96 601.42 1 in 61
Indiana 79676 1044 1.33 18156 3128 15 0.48 3.93 11835.03 464.63 1 in 84
Mississippi 71755 825 1.16 20774 2080 37 1.81 2.90 24110.02 698.89 1 in 41
Missouri 67004 1211 1.84 25970 1378 13 0.95 2.06 10917.28 224.52 1 in 92
Washington 66885 746 1.13 15036 1766 11 0.63 2.64 8783.45 231.91 1 in 114
Wisconsin 65056 829 1.29 17186 1038 13 1.27 1.60 11173.33 178.28 1 in 89
Minnesota 64413 690 1.08 14122 1705 -34 -1.96 2.65 11421.49 302.32 1 in 88
Nevada 60608 859 1.44 18792 1069 24 2.30 1.76 19676.93 347.06 1 in 51
Colorado 52819 300 0.57 9048 1896 8 0.42 3.59 9171.98 329.24 1 in 109
Iowa 52065 818 1.60 10179 975 5 0.52 1.87 16502.01 309.03 1 in 61
Arkansas 51992 -400 -0.76 14011 600 13 2.21 1.15 17228.30 198.82 1 in 58
Connecticut 50897 0 0.00 2121 4453 0 0.00 8.75 14275.71 1248.99 1 in 70
Oklahoma 47798 901 1.92 17717 657 13 2.02 1.37 12079.44 166.04 1 in 83
Utah 46321 345 0.75 8698 363 3 0.83 0.78 14448.41 113.23 1 in 69
Kentucky 38930 632 1.65 12166 810 6 0.75 2.08 8713.71 181.30 1 in 115
Kansas 33885 855 2.59 8876 406 2 0.50 1.20 11631.08 139.36 1 in 86
Nebraska 30241 253 0.84 5846 361 0 0.00 1.19 15633.21 186.62 1 in 64
Idaho 27475 304 1.12 10210 269 4 1.51 0.98 15331.48 150.11 1 in 65
Puerto Rico 25695 567 2.26 11155 329 12 3.79 1.28 8045.54 103.02 1 in 124
New Mexico 23302 142 0.61 4514 711 8 1.14 3.05 11112.97 339.08 1 in 90
Oregon 23018 405 1.79 6914 386 1 0.26 1.68 5457.43 91.52 1 in 183
Rhode Island 20335 0 0.00 2111 1021 0 0.00 5.02 19195.53 963.79 1 in 52
Delaware 16396 56 0.34 2221 593 0 0.00 3.62 16837.76 608.98 1 in 59
District of Columbia 13159 41 0.31 1442 597 3 0.51 4.54 18645.44 845.91 1 in 54
South Dakota 10118 94 0.94 1813 152 2 1.33 1.50 11437.18 171.82 1 in 87
West Virginia 8462 185 2.24 2687 160 3 1.91 1.89 4734.92 89.53 1 in 211
North Dakota 8444 122 1.47 2708 121 0 0.00 1.43 11080.46 158.78 1 in 90
New Hampshire 6980 16 0.23 565 423 0 0.00 6.06 5133.44 311.10 1 in 195
Montana 5659 118 2.13 2400 82 1 1.23 1.45 5294.83 76.72 1 in 189
Hawaii 4825 282 6.21 3205 40 0 0.00 0.83 3407.79 28.25 1 in 293
Alaska 4156 83 2.04 1817 28 1 3.70 0.67 5681.13 38.28 1 in 176
Maine 4144 28 0.68 354 127 1 0.79 3.06 3082.85 94.48 1 in 324
Wyoming 3227 44 1.38 781 30 0 0.00 0.93 5575.72 51.84 1 in 179
Vermont 1509 8 0.53 113 58 0 0.00 3.84 2418.31 92.95 1 in 414

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 9681111 617994 6.38 2633756 171542 6.51 245015.6
2 Florida 4202725 569637 13.55 866348 155126 17.91 195678.2
3 Texas 4321676 546552 12.65 1015634 156266 15.39 149044.5
4 New York 6990504 424901 6.08 1474193 13701 0.93 359343.2
5 Georgia 1988066 235168 11.83 580226 69980 12.06 187245.6
6 Illinois 3331094 205851 6.18 859129 34729 4.04 262874.1
7 Arizona 1077191 192654 17.88 219582 32613 14.85 141458.5
8 New Jersey 2461383 187442 7.62 573226 8584 1.50 277114.4
9 North Carolina 1903401 143704 7.55 324359 32283 9.95 181482.2
10 Louisiana 1637012 136737 8.35 437286 33003 7.55 352136.9
11 Tennessee 1829758 131747 7.20 497384 40951 8.23 267775.7
12 Pennsylvania 1443684 128531 8.90 320354 17416 5.44 112770.3
13 Massachusetts 1434501 123199 8.59 323618 7931 2.45 206417.8
14 Ohio 1802350 107674 5.97 508528 24490 4.82 154190.7
15 Alabama 837017 107580 12.85 195406 29450 15.07 170708.8
16 South Carolina 860400 105882 12.31 221910 25874 11.66 167109.7
17 Virginia 1337240 105750 7.91 326797 22141 6.78 156667.7
18 Michigan 2291779 101782 4.44 677133 16160 2.39 229479.5
19 Maryland 1127652 99693 8.84 302326 16639 5.50 186522.0
20 Indiana 897615 79676 8.88 207341 18156 8.76 133331.2
21 Mississippi 519765 71755 13.81 97879 20774 21.22 174643.5
22 Missouri 835441 67004 8.02 215720 25970 12.04 136122.3
23 Washington 1016246 66885 6.58 132264 15036 11.37 133455.1
24 Wisconsin 1124666 65056 5.78 264423 17186 6.50 193160.8
25 Minnesota 984473 64413 6.54 43777 14122 32.26 174563.3
26 Nevada 542850 60608 11.16 112329 18792 16.73 176241.1
27 Colorado 848795 52819 6.22 369051 9048 2.45 147392.6
28 Iowa 546074 52065 9.53 99811 10179 10.20 173078.2
29 Arkansas 588260 51992 8.84 126796 14011 11.05 194928.5
30 Connecticut 937690 50897 5.43 224618 2121 0.94 263005.5
31 Oklahoma 754417 47798 6.34 188708 17717 9.39 190655.2
32 Utah 594901 46321 7.79 94762 8698 9.18 185561.1
33 Kentucky 711976 38930 5.47 170393 12166 7.14 159361.7
34 Kansas 343043 33885 9.88 65076 8876 13.64 117750.1
35 Nebraska 317683 30241 9.52 65078 5846 8.98 164227.5
36 Idaho 221012 27475 12.43 57572 10210 17.73 123328.1
38 New Mexico 659042 23302 3.54 153865 4514 2.93 314304.1
39 Oregon 484879 23018 4.75 110869 6914 6.24 114961.9
40 Rhode Island 229865 20335 8.85 39837 2111 5.30 216984.6
41 Delaware 208761 16396 7.85 41839 2221 5.31 214385.6
42 District of Columbia 239216 13159 5.50 70207 1442 2.05 338953.4
43 South Dakota 127449 10118 7.94 21536 1813 8.42 144065.7
44 West Virginia 350244 8462 2.42 93330 2687 2.88 195979.4
45 North Dakota 178145 8444 4.74 33885 2708 7.99 233767.1
46 New Hampshire 183377 6980 3.81 31087 565 1.82 134864.7
47 Montana 200936 5659 2.82 49921 2400 4.81 188005.4
48 Hawaii 156266 4825 3.09 43476 3205 7.37 110367.3
49 Alaska 296677 4156 1.40 91611 1817 1.98 405548.5
50 Maine 207354 4144 2.00 53981 354 0.66 154256.9
51 Wyoming 60036 3227 5.38 11767 781 6.64 103732.3
52 Vermont 110297 1509 1.37 21481 113 0.53 176761.1

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 595865 11111 1.90 417123 70.00 158395 20037 288 1.46 3.36
Tamil Nadu 338055 5950 1.79 278270 82.32 54019 5766 125 2.22 1.71
Andhra Pradesh 289829 8012 2.84 201234 69.43 85945 2650 88 3.43 0.91
Karnataka 226966 7040 3.20 141491 62.34 81510 3956 124 3.24 1.74
Uttar Pradesh 154418 4357 2.90 100432 65.04 51537 2449 56 2.34 1.59
Delhi 152580 652 0.43 137561 90.16 10823 4196 8 0.19 2.75
West Bengal 116498 3066 2.70 86771 74.48 27299 2428 51 2.15 2.08
Bihar 104093 2187 2.15 72566 69.71 30989 537 22 4.27 0.52
Telangana 92255 1996 2.21 70132 76.02 21420 703 19 2.78 0.76
Gujarat 78783 1120 1.44 61596 78.18 14402 2785 20 0.72 3.54
Assam 76876 1317 1.74 55216 71.82 21468 189 7 3.85 0.25
Rajasthan 61296 1317 2.20 46604 76.03 13816 876 14 1.62 1.43
Odisha 60050 2924 5.12 42277 70.40 17377 396 10 2.59 0.66
Haryana 47153 743 1.60 39601 83.98 7014 538 10 1.89 1.14
Madhya Pradesh 45455 1022 2.30 34038 74.88 10312 1105 11 1.01 2.43
Kerala 44415 1530 3.57 28894 65.05 15310 157 10 6.80 0.35
Punjab 31206 1165 3.88 19431 62.27 10963 812 41 5.32 2.60
Jammu and Kashmir 28470 449 1.60 20943 73.56 6985 542 15 2.85 1.90
Jharkhand 23224 552 2.43 14747 63.50 8233 244 15 6.55 1.05
Chhattisgarh 15621 576 3.83 10235 65.52 5244 142 8 5.97 0.91
Uttarakhand 12175 235 1.97 8100 66.53 3879 152 1 0.66 1.25
Goa 11639 300 2.65 7775 66.80 3760 104 6 6.12 0.89
Puducherry 7732 378 5.14 4443 57.46 3179 110 4 3.77 1.42
Tripura 7219 270 3.89 5286 73.22 1856 59 9 18.00 0.82
Manipur 4569 179 4.08 2632 57.61 1921 16 3 23.08 0.35
Himachal Pradesh 4156 163 4.08 2720 65.45 1376 18 0 0.00 0.43
Nagaland 3394 54 1.62 1422 41.90 1958 7 0 0.00 0.21
Arunachal Pradesh 2701 43 1.62 1808 66.94 888 5 0 0.00 0.19
Andaman and Nicobar Islands 2399 93 4.03 1226 51.10 1145 28 4 16.67 1.17
Chandigarh 2102 93 4.63 1137 54.09 934 29 1 3.57 1.38
Ladakh 1948 39 2.04 1356 69.61 578 14 5 55.56 0.72
Dadra and Nagar Haveli and Daman and Diu 1881 35 1.90 1431 76.08 432 2 0 0.00 0.11
Meghalaya 1374 82 6.35 675 49.13 693 6 0 0.00 0.44
Sikkim 1167 19 1.66 673 57.67 493 1 0 0.00 0.09
Mizoram 789 76 10.66 371 47.02 418 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
State Unassigned 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 1408872 97319 94 0.10 6.91 149 12 5357 16837 17.30
Piemonte 533845 32044 47 0.15 6.00 81 3 880 4139 12.92
Emilia-Romagna 765122 30385 71 0.23 3.97 75 4 1754 4453 14.66
Veneto 1363130 21132 120 0.57 1.55 38 4 1560 2096 9.92
Toscana 467475 10799 38 0.35 2.31 9 4 633 1138 10.54
Liguria 210231 10446 33 0.32 4.97 17 3 273 1569 15.02
Lazio 454938 9059 58 0.64 1.99 193 9 1218 870 9.60
Marche 182505 7030 11 0.16 3.85 13 1 194 987 14.04
Campania 358504 5232 18 0.35 1.46 34 1 489 440 8.41
P.A. Trento 169248 5003 0 0.00 2.96 1 1 60 405 8.10
Puglia 266293 4843 22 0.46 1.82 46 1 308 554 11.44
Sicilia 307936 3727 46 1.25 1.21 47 5 677 284 7.62
Abruzzo 140692 3558 13 0.37 2.53 25 1 252 472 13.27
Friuli Venezia Giulia 282722 3499 15 0.43 1.24 2 3 189 348 9.95
P.A. Bolzano 120894 2793 9 0.32 2.31 7 1 126 292 10.45
Umbria 132814 1545 13 0.85 1.16 9 1 80 80 5.18
Sardegna 117404 1489 5 0.34 1.27 8 0 101 134 9.00
Calabria 134064 1345 10 0.75 1.00 8 1 143 97 7.21
Valle d’Aosta 23166 1217 0 0.00 5.25 2 0 11 146 12.00
Molise 29899 487 2 0.41 1.63 0 0 35 23 4.72
Basilicata 50856 486 4 0.83 0.96 0 0 66 28 5.76

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 61084 80 0.13 5719 1 0.02 9.36 7154.64 669.85 1 in 140
Ontario 42501 89 0.21 2836 1 0.04 6.67 2888.90 192.77 1 in 346
Alberta 12053 0 0.00 221 0 0.00 1.83 2731.16 50.08 1 in 366
British Columbia 4358 0 0.00 196 0 0.00 4.50 852.68 38.35 1 in 1173
Saskatchewan 1566 25 1.62 21 1 5.00 1.34 1325.25 17.77 1 in 755
Nova Scotia 1074 2 0.19 64 0 0.00 5.96 1098.77 65.48 1 in 910
Manitoba 663 20 3.11 9 1 12.50 1.36 481.30 6.53 1 in 2078
Newfoundland and Labrador 268 0 0.00 3 0 0.00 1.12 514.04 5.75 1 in 1945
New Brunswick 184 4 2.22 2 0 0.00 1.09 235.90 2.56 1 in 4239
Prince Edward Island 41 0 0.00 0 0 NaN 0.00 259.23 0.00 1 in 3858
Yukon 15 0 0.00 0 0 NaN 0.00 365.16 0.00 1 in 2739
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68139 4512 6.62
Hong Kong 4406 69 1.57
Guangdong 1712 8 0.47
Henan 1276 22 1.72
Zhejiang 1275 1 0.08
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 948 13 1.37
Beijing 935 9 0.96
Jiangxi 932 1 0.11
Xinjiang 902 3 0.33
Shanghai 825 7 0.85
Shandong 821 7 0.85
Jiangsu 661 0 0.00
Sichuan 624 3 0.48
Chongqing 583 6 1.03
Fujian 369 1 0.27
Hebei 351 6 1.71
Shaanxi 351 3 0.85
Liaoning 261 2 0.77
Inner Mongolia 260 1 0.38
Guangxi 255 2 0.78
Tianjin 207 3 1.45
Shanxi 201 0 0.00
Yunnan 191 2 1.05
Hainan 171 6 3.51
Gansu 169 2 1.18
Jilin 157 2 1.27
Guizhou 147 2 1.36
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 16384.98 517.97 1 in 61
Brazil 15848.52 512.34 1 in 63
India 1934.24 37.33 1 in 517
Russia 6337.77 107.85 1 in 158
South Africa 10290.07 205.87 1 in 97
Mexico 4007.07 437.64 1 in 250
Peru 16048.99 803.73 1 in 62
Colombia 9306.89 301.81 1 in 107
Chile 21268.81 575.90 1 in 47
Spain 7347.04 613.31 1 in 136
Iran 4202.44 240.17 1 in 238
United Kingdom 4804.82 704.26 1 in 208
Saudi Arabia 9025.96 102.28 1 in 111
Argentina 6530.38 127.33 1 in 153
Pakistan 1462.17 31.28 1 in 684
Bangladesh NA NA 1 in NA
Italy 4190.44 585.19 1 in 239
France 3776.16 453.95 1 in 265
Turkey 3070.37 73.69 1 in 326
Germany 2711.54 111.55 1 in 369

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 229916 23621 10.27
Los Angeles California 220867 5246 2.38
Miami-Dade Florida 144407 2047 1.42
Maricopa Arizona 128865 2585 2.01
Cook Illinois 115344 4953 4.29
Harris Texas 91698 1812 1.98
Broward Florida 66011 940 1.42
Dallas Texas 58067 824 1.42
Clark Nevada 52239 908 1.74
Riverside California 45662 881 1.93
Suffolk New York 44109 1998 4.53
Bexar Texas 43993 887 2.02
Nassau New York 43891 2195 5.00
Orange California 43367 809 1.87
San Bernardino California 40338 568 1.41
Palm Beach Florida 38902 989 2.54
Westchester New York 36435 1447 3.97
San Diego California 34065 622 1.83
Hillsborough Florida 34040 460 1.35
Tarrant Texas 33874 499 1.47
Orange Florida 33180 351 1.06
Philadelphia Pennsylvania 32186 1717 5.33
Wayne Michigan 29062 2837 9.76
Middlesex Massachusetts 26565 2006 7.55
Kern California 26266 204 0.78
Prince George’s Maryland 24588 768 3.12
Duval Florida 24509 221 0.90
Shelby Tennessee 24440 323 1.32
Travis Texas 24008 335 1.40
Mecklenburg North Carolina 22989 257 1.12
Milwaukee Wisconsin 22054 465 2.11
Suffolk Massachusetts 22017 1076 4.89
Fulton Georgia 21867 472 2.16
Hidalgo Texas 21806 931 4.27
Davidson Tennessee 21677 220 1.01
Salt Lake Utah 21621 211 0.98
Gwinnett Georgia 21411 287 1.34
Bergen New Jersey 21120 2036 9.64
Hennepin Minnesota 20251 846 4.18
Essex New Jersey 19911 2110 10.60
Hudson New Jersey 19866 1508 7.59
Franklin Ohio 19437 537 2.76
Pima Arizona 19313 530 2.74
Fresno California 19157 203 1.06
Montgomery Maryland 18925 808 4.27
Pinellas Florida 18660 544 2.92
Fairfield Connecticut 18160 1410 7.76
El Paso Texas 18079 357 1.97
Middlesex New Jersey 18070 1414 7.83
Essex Massachusetts 17930 1194 6.66
Passaic New Jersey 17915 1244 6.94
Cameron Texas 17816 547 3.07
King Washington 17491 688 3.93
Lee Florida 17305 375 2.17
Fairfax Virginia 16882 533 3.16
Nueces Texas 16878 279 1.65
Union New Jersey 16847 1349 8.01
Out of GA Georgia 16824 101 0.60
Marion Indiana 16539 735 4.44
St. Louis Missouri 16409 678 4.13
Oakland Michigan 16378 1140 6.96
Jefferson Louisiana 15703 530 3.38
Providence Rhode Island 15644 0 0.00
Polk Florida 15312 358 2.34
DeKalb Georgia 14926 262 1.76
Cobb Georgia 14826 338 2.28
San Joaquin California 14651 261 1.78
Alameda California 14558 219 1.50
Cuyahoga Ohio 14278 529 3.71
Rockland New York 13997 674 4.82
Jefferson Alabama 13905 262 1.88
Santa Clara California 13865 208 1.50
Baltimore Maryland 13847 574 4.15
Worcester Massachusetts 13686 1007 7.36
Sacramento California 13615 199 1.46
Baltimore City Maryland 13341 441 3.31
New Haven Connecticut 13316 1109 8.33
Lake Illinois 13231 450 3.40
District of Columbia District of Columbia 13159 597 4.54
Hartford Connecticut 12871 1419 11.02
Charleston South Carolina 12821 213 1.66
DuPage Illinois 12815 526 4.10
East Baton Rouge Louisiana 12716 372 2.93
Wake North Carolina 12603 182 1.44
Fort Bend Texas 12228 192 1.57
Tulare California 12105 205 1.69
Douglas Nebraska 12035 143 1.19
Stanislaus California 11953 195 1.63
Yuma Arizona 11853 292 2.46
Oklahoma Oklahoma 11458 129 1.13
Tulsa Oklahoma 11312 113 1.00
Greenville South Carolina 11238 227 2.02
Orange New York 11229 491 4.37
Macomb Michigan 11221 955 8.51
Contra Costa California 11013 156 1.42
Mobile Alabama 10961 225 2.05
Orleans Louisiana 10939 566 5.17
Polk Iowa 10921 211 1.93
Collier Florida 10840 151 1.39
Ocean New Jersey 10740 1020 9.50

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc